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          ORACLE AWR&ASH整理
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        <h2 id="使用"><a href="#使用" class="headerlink" title="使用"></a>使用</h2><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br></pre></td><td class="code"><pre><span class="line">@?&#x2F;rdbms&#x2F;admin&#x2F;ashrpt.sql</span><br><span class="line">@?&#x2F;rdbms&#x2F;admin&#x2F;awrrpt.sql</span><br><span class="line">AWR 是通过对比两次快照(snapshot)收集到的统计信息，来生成报表数据，生成的报表包括多个部分，这点与Statspack生成的报告非常类似。不过AWR在生成报告时，可以选择生成TXT或HTML两种格式的报告，相对来说，HTML更利于阅读，而TXT的适用性更广(即使在不能使用浏览器的机器上也能看)。</span><br><span class="line">操作过Statspack的朋友都还记的，生成报告使用$ORACLE_HOME&#x2F;rdbms&#x2F;admin&#x2F;spreport.sql脚本，到了AWR这片，操作步骤基本上相同，不过生成报告的脚本多了很多选择，包括：</span><br><span class="line">awrrpt.sql ：生成指定快照区间的统计报表；</span><br><span class="line">awrrpti.sql ：生成指定数据库实例，并且指定快照区间的统计报表；</span><br><span class="line">awrsqlrpt.sql ：生成指定快照区间，指定SQL语句(实际指定的是该语句的SQLID)的统计报表；</span><br><span class="line">awrsqrpi.sql ：生成指定数据库实例，指定快照区间的指定SQL语句的统计报表；</span><br><span class="line">awrddrpt.sql ：指定两个不同的时间周期，生成这两个周期的统计对比报表；</span><br><span class="line">awrddrpi.sql ：指定数据库实例，并指定两个的不同时间周期，生成这两个周期的统计对比报表；</span><br></pre></td></tr></table></figure>




<h2 id="管理脚本"><a href="#管理脚本" class="headerlink" title="管理脚本"></a>管理脚本</h2><ul>
<li>查询一个AWR周期内的平均session数、OS平均负载、平均db time、平均每秒多少事务 </li>
</ul>
<figure class="highlight sql"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br></pre></td><td class="code"><pre><span class="line"><span class="keyword">select</span> to_char(<span class="keyword">max</span>(BEGIN_TIME),<span class="string">'yyyy-mm-dd hh24:mi'</span>)||to_char(<span class="keyword">max</span>(end_time),<span class="string">'--hh24:mi'</span>) <span class="built_in">time</span>, </span><br><span class="line">snap_id,     </span><br><span class="line">trunc(<span class="keyword">sum</span>(<span class="keyword">case</span> metric_name <span class="keyword">when</span> <span class="string">'Session Count'</span> <span class="keyword">then</span> average <span class="keyword">end</span>),<span class="number">2</span>) sessions, </span><br><span class="line">trunc(<span class="keyword">sum</span>(<span class="keyword">case</span> metric_name <span class="keyword">when</span> <span class="string">'Current OS Load'</span> <span class="keyword">then</span> average <span class="keyword">end</span>),<span class="number">2</span>) OS_LOAD, </span><br><span class="line">(trunc(<span class="keyword">sum</span>(<span class="keyword">case</span> metric_name <span class="keyword">when</span> <span class="string">'Database Time Per Sec'</span> <span class="keyword">then</span> average <span class="keyword">end</span>),<span class="number">2</span>)/<span class="number">100</span>)*(<span class="keyword">ceil</span>((<span class="keyword">max</span>(end_time)-<span class="keyword">max</span>(BEGIN_TIME))*<span class="number">24</span>*<span class="number">60</span>*<span class="number">60</span>)) Database_Time_second, </span><br><span class="line">trunc(<span class="keyword">sum</span>(<span class="keyword">case</span> metric_name <span class="keyword">when</span> <span class="string">'User Transaction Per Sec'</span> <span class="keyword">then</span> average <span class="keyword">end</span>),<span class="number">2</span>) User_Transaction_Per_Sec </span><br><span class="line"><span class="keyword">from</span> dba_hist_sysmetric_summary </span><br><span class="line"><span class="keyword">group</span> <span class="keyword">by</span> snap_id </span><br><span class="line"><span class="keyword">order</span> <span class="keyword">by</span> snap_id;</span><br></pre></td></tr></table></figure>
<blockquote>
<p>Database Time Per Sec对应值的单位是百分一秒/每秒<br>(/100)<em>(ceil((max(end_time)-max(BEGIN_TIME))</em>24<em>60</em>60))是代表每个snap周期内的总秒数，oracle 两个时间相减默认的是天数,<em>24</em>60*60 为相差的秒数<br>这个SQL查到的DB TIME比较准确，和awr上面的db time比较一致 </p>
</blockquote>
<ul>
<li>AWR设置每隔30分钟收集一次报告，保留14天的报告 </li>
</ul>
<figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br></pre></td><td class="code"><pre><span class="line">exec DBMS_WORKLOAD_REPOSITORY.MODIFY_SNAPSHOT_SETTINGS(retention&#x3D;&gt;14*24*60, interval&#x3D;&gt;30); </span><br><span class="line">select * from dba_hist_wr_control;</span><br></pre></td></tr></table></figure>

<ul>
<li>AWR基线查看和创建 </li>
</ul>
<figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br></pre></td><td class="code"><pre><span class="line">select * from dba_hist_baseline; </span><br><span class="line">exec DBMS_WORKLOAD_REPOSITORY.CREATE_BASELINE(start_snap_id&#x3D;&gt;7550,end_snap_id&#x3D;&gt;7660,baseline_name&#x3D;&gt;&#39;am_baseline&#39;);</span><br></pre></td></tr></table></figure>

<ul>
<li>导出AWR报告的SQL语句 </li>
</ul>
<figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br></pre></td><td class="code"><pre><span class="line">select * from dba_hist_snapshot </span><br><span class="line">select * from table(dbms_workload_repository.awr_report_html(DBID, INSTANCE_NUMBER, startsnapid,endsnapid)) </span><br><span class="line">select * from TABLE(DBMS_WORKLOAD_REPOSITORY.awr_diff_report_html(DBID, INSTANCE_NUMBER, startsnapid,endsnapid, DBID, INSTANCE_NUMBER, startsnapid,endsnapid));</span><br></pre></td></tr></table></figure>


<ul>
<li>查询一个AWR周期内的平均session数、OS平均负载、平均db time、平均每秒多少事务 </li>
</ul>
<figure class="highlight sql"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br><span class="line">24</span><br><span class="line">25</span><br><span class="line">26</span><br><span class="line">27</span><br><span class="line">28</span><br><span class="line">29</span><br><span class="line">30</span><br><span class="line">31</span><br><span class="line">32</span><br><span class="line">33</span><br><span class="line">34</span><br><span class="line">35</span><br></pre></td><td class="code"><pre><span class="line"><span class="keyword">select</span></span><br><span class="line">    to_char(<span class="keyword">max</span>(BEGIN_TIME), <span class="string">'yyyy-mm-dd hh24:mi'</span>) || to_char(<span class="keyword">max</span>(end_time), <span class="string">'--hh24:mi'</span>) <span class="built_in">time</span>,</span><br><span class="line">    snap_id,</span><br><span class="line">    trunc(</span><br><span class="line">        <span class="keyword">sum</span>(</span><br><span class="line">            <span class="keyword">case</span> metric_name <span class="keyword">when</span> <span class="string">'Session Count'</span> <span class="keyword">then</span> average <span class="keyword">end</span></span><br><span class="line">        ),</span><br><span class="line">        <span class="number">2</span></span><br><span class="line">    ) sessions,</span><br><span class="line">    trunc(</span><br><span class="line">        <span class="keyword">sum</span>(</span><br><span class="line">            <span class="keyword">case</span> metric_name <span class="keyword">when</span> <span class="string">'Current OS Load'</span> <span class="keyword">then</span> average <span class="keyword">end</span></span><br><span class="line">        ),</span><br><span class="line">        <span class="number">2</span></span><br><span class="line">    ) OS_LOAD,</span><br><span class="line">    (</span><br><span class="line">        trunc(</span><br><span class="line">            <span class="keyword">sum</span>(</span><br><span class="line">                <span class="keyword">case</span> metric_name <span class="keyword">when</span> <span class="string">'Database Time Per Sec'</span> <span class="keyword">then</span> average <span class="keyword">end</span></span><br><span class="line">            ),</span><br><span class="line">            <span class="number">2</span></span><br><span class="line">        ) / <span class="number">100</span></span><br><span class="line">    ) *(<span class="keyword">ceil</span>((<span class="keyword">max</span>(end_time) - <span class="keyword">max</span>(BEGIN_TIME)) * <span class="number">24</span> * <span class="number">60</span> * <span class="number">60</span>)) Database_Time_second,</span><br><span class="line">    trunc(</span><br><span class="line">        <span class="keyword">sum</span>(</span><br><span class="line">            <span class="keyword">case</span> metric_name <span class="keyword">when</span> <span class="string">'User Transaction Per Sec'</span> <span class="keyword">then</span> average <span class="keyword">end</span></span><br><span class="line">        ),</span><br><span class="line">        <span class="number">2</span></span><br><span class="line">    ) User_Transaction_Per_Sec</span><br><span class="line"><span class="keyword">from</span></span><br><span class="line">    dba_hist_sysmetric_summary</span><br><span class="line"><span class="keyword">group</span> <span class="keyword">by</span></span><br><span class="line">    snap_id</span><br><span class="line"><span class="keyword">order</span> <span class="keyword">by</span></span><br><span class="line">    snap_id;</span><br></pre></td></tr></table></figure>

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